Overview

Dataset statistics

Number of variables23
Number of observations101763
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.2 MiB
Average record size in memory177.0 B

Variable types

Numeric22
Boolean1

Alerts

loc is highly overall correlated with v(g) and 15 other fieldsHigh correlation
v(g) is highly overall correlated with loc and 9 other fieldsHigh correlation
ev(g) is highly overall correlated with v(g) and 2 other fieldsHigh correlation
iv(g) is highly overall correlated with loc and 4 other fieldsHigh correlation
n is highly overall correlated with loc and 14 other fieldsHigh correlation
v is highly overall correlated with loc and 14 other fieldsHigh correlation
l is highly overall correlated with loc and 12 other fieldsHigh correlation
d is highly overall correlated with loc and 15 other fieldsHigh correlation
i is highly overall correlated with n and 11 other fieldsHigh correlation
e is highly overall correlated with loc and 15 other fieldsHigh correlation
b is highly overall correlated with loc and 14 other fieldsHigh correlation
t is highly overall correlated with loc and 15 other fieldsHigh correlation
lOCode is highly overall correlated with loc and 16 other fieldsHigh correlation
lOComment is highly overall correlated with n and 6 other fieldsHigh correlation
lOBlank is highly overall correlated with loc and 13 other fieldsHigh correlation
uniq_Op is highly overall correlated with loc and 15 other fieldsHigh correlation
uniq_Opnd is highly overall correlated with loc and 12 other fieldsHigh correlation
total_Op is highly overall correlated with loc and 14 other fieldsHigh correlation
total_Opnd is highly overall correlated with loc and 13 other fieldsHigh correlation
branchCount is highly overall correlated with loc and 9 other fieldsHigh correlation
iv(g) is highly skewed (γ1 = 28.2099643)Skewed
e is highly skewed (γ1 = 47.67644577)Skewed
t is highly skewed (γ1 = 46.3634028)Skewed
id is uniformly distributedUniform
id has unique valuesUnique
n has 7835 (7.7%) zerosZeros
v has 7864 (7.7%) zerosZeros
l has 7899 (7.8%) zerosZeros
d has 7871 (7.7%) zerosZeros
i has 7870 (7.7%) zerosZeros
e has 7900 (7.8%) zerosZeros
b has 8097 (8.0%) zerosZeros
t has 7901 (7.8%) zerosZeros
lOCode has 7818 (7.7%) zerosZeros
lOComment has 72851 (71.6%) zerosZeros
lOBlank has 19324 (19.0%) zerosZeros
locCodeAndComment has 93550 (91.9%) zerosZeros
uniq_Op has 7795 (7.7%) zerosZeros
uniq_Opnd has 7866 (7.7%) zerosZeros
total_Op has 7834 (7.7%) zerosZeros
total_Opnd has 7899 (7.8%) zerosZeros

Reproduction

Analysis started2023-10-12 14:14:18.577855
Analysis finished2023-10-12 14:17:49.876254
Duration3 minutes and 31.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

id
Real number (ℝ)

UNIFORM  UNIQUE 

Distinct101763
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50881
Minimum0
Maximum101762
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size795.2 KiB
2023-10-12T19:17:50.500407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5088.1
Q125440.5
median50881
Q376321.5
95-th percentile96673.9
Maximum101762
Range101762
Interquartile range (IQR)50881

Descriptive statistics

Standard deviation29376.592
Coefficient of variation (CV)0.57735878
Kurtosis-1.2
Mean50881
Median Absolute Deviation (MAD)25441
Skewness0
Sum5.1778032 × 109
Variance8.6298416 × 108
MonotonicityStrictly increasing
2023-10-12T19:17:51.255344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1
 
< 0.1%
67850 1
 
< 0.1%
67848 1
 
< 0.1%
67847 1
 
< 0.1%
67846 1
 
< 0.1%
67845 1
 
< 0.1%
67844 1
 
< 0.1%
67843 1
 
< 0.1%
67842 1
 
< 0.1%
67841 1
 
< 0.1%
Other values (101753) 101753
> 99.9%
ValueCountFrequency (%)
0 1
< 0.1%
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
ValueCountFrequency (%)
101762 1
< 0.1%
101761 1
< 0.1%
101760 1
< 0.1%
101759 1
< 0.1%
101758 1
< 0.1%
101757 1
< 0.1%
101756 1
< 0.1%
101755 1
< 0.1%
101754 1
< 0.1%
101753 1
< 0.1%

loc
Real number (ℝ)

HIGH CORRELATION 

Distinct378
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.34716
Minimum1
Maximum3442
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size795.2 KiB
2023-10-12T19:17:51.951412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q113
median22
Q342
95-th percentile113
Maximum3442
Range3441
Interquartile range (IQR)29

Descriptive statistics

Standard deviation54.600401
Coefficient of variation (CV)1.4619693
Kurtosis352.16512
Mean37.34716
Median Absolute Deviation (MAD)12
Skewness11.818912
Sum3800559
Variance2981.2038
MonotonicityNot monotonic
2023-10-12T19:17:52.575390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 3657
 
3.6%
12 3431
 
3.4%
7 3426
 
3.4%
17 3255
 
3.2%
8 3109
 
3.1%
10 3084
 
3.0%
14 3083
 
3.0%
15 2935
 
2.9%
9 2797
 
2.7%
13 2713
 
2.7%
Other values (368) 70273
69.1%
ValueCountFrequency (%)
1 7
 
< 0.1%
2 3
 
< 0.1%
3 14
 
< 0.1%
4 1544
1.5%
5 2090
2.1%
6 1728
1.7%
7 3426
3.4%
8 3109
3.1%
9 2797
2.7%
10 3084
3.0%
ValueCountFrequency (%)
3442 1
 
< 0.1%
2224 1
 
< 0.1%
1882 2
 
< 0.1%
1824 6
 
< 0.1%
1532 3
 
< 0.1%
1411 3
 
< 0.1%
1243 2
 
< 0.1%
1129 19
< 0.1%
902 2
 
< 0.1%
844 3
 
< 0.1%

v(g)
Real number (ℝ)

HIGH CORRELATION 

Distinct106
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.492684
Minimum1
Maximum404
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size795.2 KiB
2023-10-12T19:17:53.308185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q36
95-th percentile17
Maximum404
Range403
Interquartile range (IQR)4

Descriptive statistics

Standard deviation7.9008551
Coefficient of variation (CV)1.4384325
Kurtosis501.42626
Mean5.492684
Median Absolute Deviation (MAD)2
Skewness14.258631
Sum558952
Variance62.423511
MonotonicityNot monotonic
2023-10-12T19:17:54.154707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 22519
22.1%
1 15794
15.5%
3 15555
15.3%
4 10002
9.8%
5 7864
 
7.7%
6 5834
 
5.7%
7 4048
 
4.0%
8 3183
 
3.1%
9 2417
 
2.4%
10 2156
 
2.1%
Other values (96) 12391
12.2%
ValueCountFrequency (%)
1 15794
15.5%
2 22519
22.1%
3 15555
15.3%
4 10002
9.8%
5 7864
 
7.7%
6 5834
 
5.7%
7 4048
 
4.0%
8 3183
 
3.1%
9 2417
 
2.4%
10 2156
 
2.1%
ValueCountFrequency (%)
404 3
< 0.1%
402 2
< 0.1%
286 3
< 0.1%
273 1
 
< 0.1%
268 4
< 0.1%
263 3
< 0.1%
262 1
 
< 0.1%
207 1
 
< 0.1%
206 1
 
< 0.1%
201 1
 
< 0.1%

ev(g)
Real number (ℝ)

HIGH CORRELATION 

Distinct71
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8450223
Minimum1
Maximum165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size795.2 KiB
2023-10-12T19:17:54.890061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile11
Maximum165
Range164
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.6312616
Coefficient of variation (CV)1.6278472
Kurtosis96.037809
Mean2.8450223
Median Absolute Deviation (MAD)0
Skewness6.5134985
Sum289518
Variance21.448584
MonotonicityNot monotonic
2023-10-12T19:17:55.720156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 72275
71.0%
3 7143
 
7.0%
4 5032
 
4.9%
5 3732
 
3.7%
6 2723
 
2.7%
7 1858
 
1.8%
8 1499
 
1.5%
9 1224
 
1.2%
10 989
 
1.0%
11 805
 
0.8%
Other values (61) 4483
 
4.4%
ValueCountFrequency (%)
1 72275
71.0%
2 3
 
< 0.1%
3 7143
 
7.0%
4 5032
 
4.9%
5 3732
 
3.7%
6 2723
 
2.7%
7 1858
 
1.8%
8 1499
 
1.5%
9 1224
 
1.2%
10 989
 
1.0%
ValueCountFrequency (%)
165 1
 
< 0.1%
140 3
< 0.1%
133 2
< 0.1%
117 1
 
< 0.1%
113 2
< 0.1%
112 1
 
< 0.1%
111 1
 
< 0.1%
95 1
 
< 0.1%
82 3
< 0.1%
77 1
 
< 0.1%

iv(g)
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct84
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4988257
Minimum1
Maximum402
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size795.2 KiB
2023-10-12T19:17:56.676019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile10
Maximum402
Range401
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.5345411
Coefficient of variation (CV)1.5818282
Kurtosis1564.1088
Mean3.4988257
Median Absolute Deviation (MAD)1
Skewness28.209964
Sum356051
Variance30.631145
MonotonicityNot monotonic
2023-10-12T19:17:57.371333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 30315
29.8%
1 27101
26.6%
3 14879
14.6%
4 8630
 
8.5%
5 5697
 
5.6%
6 3573
 
3.5%
7 3026
 
3.0%
8 1588
 
1.6%
9 1467
 
1.4%
10 871
 
0.9%
Other values (74) 4616
 
4.5%
ValueCountFrequency (%)
1 27101
26.6%
2 30315
29.8%
3 14879
14.6%
4 8630
 
8.5%
5 5697
 
5.6%
6 3573
 
3.5%
7 3026
 
3.0%
8 1588
 
1.6%
9 1467
 
1.4%
10 871
 
0.9%
ValueCountFrequency (%)
402 2
 
< 0.1%
385 3
< 0.1%
256 3
< 0.1%
223 1
 
< 0.1%
219 6
< 0.1%
207 1
 
< 0.1%
202 1
 
< 0.1%
197 1
 
< 0.1%
171 1
 
< 0.1%
128 1
 
< 0.1%

n
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct836
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.655995
Minimum0
Maximum8441
Zeros7835
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size795.2 KiB
2023-10-12T19:17:58.122581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q125
median51
Q3111
95-th percentile312
Maximum8441
Range8441
Interquartile range (IQR)86

Descriptive statistics

Standard deviation171.14719
Coefficient of variation (CV)1.7706837
Kurtosis209.57366
Mean96.655995
Median Absolute Deviation (MAD)33
Skewness9.9085142
Sum9836004
Variance29291.361
MonotonicityNot monotonic
2023-10-12T19:17:58.547816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7835
 
7.7%
15 1430
 
1.4%
22 1390
 
1.4%
27 1383
 
1.4%
29 1311
 
1.3%
25 1278
 
1.3%
21 1262
 
1.2%
24 1253
 
1.2%
14 1240
 
1.2%
17 1236
 
1.2%
Other values (826) 82145
80.7%
ValueCountFrequency (%)
0 7835
7.7%
1 30
 
< 0.1%
2 9
 
< 0.1%
3 20
 
< 0.1%
4 88
 
0.1%
5 84
 
0.1%
6 134
 
0.1%
7 204
 
0.2%
8 197
 
0.2%
9 432
 
0.4%
ValueCountFrequency (%)
8441 1
 
< 0.1%
5669 3
< 0.1%
5392 1
 
< 0.1%
4828 6
< 0.1%
4308 5
< 0.1%
4022 3
< 0.1%
3896 1
 
< 0.1%
3848 2
 
< 0.1%
3415 2
 
< 0.1%
3281 6
< 0.1%

v
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct4515
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean538.28096
Minimum0
Maximum80843.08
Zeros7864
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size795.2 KiB
2023-10-12T19:17:59.104752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q197.67
median232.79
Q3560.25
95-th percentile1812.591
Maximum80843.08
Range80843.08
Interquartile range (IQR)462.58

Descriptive statistics

Standard deviation1270.7916
Coefficient of variation (CV)2.3608333
Kurtosis518.21261
Mean538.28096
Median Absolute Deviation (MAD)171.85
Skewness15.959869
Sum54777085
Variance1614911.3
MonotonicityNot monotonic
2023-10-12T19:17:59.504920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7864
 
7.7%
60.94 494
 
0.5%
66.61 477
 
0.5%
51.89 446
 
0.4%
48.43 440
 
0.4%
144.43 410
 
0.4%
46.51 399
 
0.4%
53.77 368
 
0.4%
110.36 354
 
0.3%
96 351
 
0.3%
Other values (4505) 90160
88.6%
ValueCountFrequency (%)
0 7864
7.7%
1 1
 
< 0.1%
2 7
 
< 0.1%
4.75 29
 
< 0.1%
5 1
 
< 0.1%
7.75 1
 
< 0.1%
8 82
 
0.1%
9 1
 
< 0.1%
10 1
 
< 0.1%
11.61 79
 
0.1%
ValueCountFrequency (%)
80843.08 1
 
< 0.1%
55140.81 2
 
< 0.1%
48500.69 1
 
< 0.1%
46943.69 6
< 0.1%
43342.31 7
< 0.1%
41217.16 1
 
< 0.1%
35928.07 1
 
< 0.1%
33034.94 3
< 0.1%
31233.49 1
 
< 0.1%
28092.72 5
< 0.1%

l
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct55
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1116335
Minimum0
Maximum1
Zeros7899
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size795.2 KiB
2023-10-12T19:17:59.889230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.05
median0.09
Q30.15
95-th percentile0.32
Maximum1
Range1
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.10009587
Coefficient of variation (CV)0.89664725
Kurtosis5.0319475
Mean0.1116335
Median Absolute Deviation (MAD)0.05
Skewness1.9033374
Sum11360.16
Variance0.010019184
MonotonicityNot monotonic
2023-10-12T19:18:00.200794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7899
 
7.8%
0.05 7861
 
7.7%
0.04 7076
 
7.0%
0.06 6863
 
6.7%
0.03 6209
 
6.1%
0.07 5335
 
5.2%
0.08 5276
 
5.2%
0.11 5195
 
5.1%
0.09 4747
 
4.7%
0.1 4584
 
4.5%
Other values (45) 40718
40.0%
ValueCountFrequency (%)
0 7899
7.8%
0.01 714
 
0.7%
0.02 3369
3.3%
0.03 6209
6.1%
0.04 7076
7.0%
0.05 7861
7.7%
0.06 6863
6.7%
0.07 5335
5.2%
0.08 5276
5.2%
0.09 4747
4.7%
ValueCountFrequency (%)
1 1
 
< 0.1%
0.67 330
 
0.3%
0.57 4
 
< 0.1%
0.56 23
 
< 0.1%
0.53 2
 
< 0.1%
0.5 1036
1.0%
0.49 2
 
< 0.1%
0.48 1
 
< 0.1%
0.47 14
 
< 0.1%
0.46 6
 
< 0.1%

d
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct3360
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.681881
Minimum0
Maximum418.2
Zeros7871
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size795.2 KiB
2023-10-12T19:18:00.505613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.6
median9.82
Q318
95-th percentile37.73
Maximum418.2
Range418.2
Interquartile range (IQR)12.4

Descriptive statistics

Standard deviation14.121306
Coefficient of variation (CV)1.0321173
Kurtosis92.422268
Mean13.681881
Median Absolute Deviation (MAD)5.58
Skewness5.6180812
Sum1392309.3
Variance199.41128
MonotonicityNot monotonic
2023-10-12T19:18:00.905288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7871
 
7.7%
3.5 1702
 
1.7%
3 1406
 
1.4%
4 1370
 
1.3%
2.5 1270
 
1.2%
9 1187
 
1.2%
2 1041
 
1.0%
6 1029
 
1.0%
7.5 1022
 
1.0%
4.5 1018
 
1.0%
Other values (3350) 82847
81.4%
ValueCountFrequency (%)
0 7871
7.7%
0.67 1
 
< 0.1%
1 1
 
< 0.1%
1.5 333
 
0.3%
1.75 5
 
< 0.1%
1.8 23
 
< 0.1%
1.88 2
 
< 0.1%
2 1041
 
1.0%
2.02 1
 
< 0.1%
2.12 11
 
< 0.1%
ValueCountFrequency (%)
418.2 4
< 0.1%
408.73 4
< 0.1%
384.45 2
 
< 0.1%
337.36 2
 
< 0.1%
290.15 4
< 0.1%
269.46 3
< 0.1%
215.17 6
< 0.1%
214.5 1
 
< 0.1%
213.53 7
< 0.1%
206.01 2
 
< 0.1%

i
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct5171
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.573007
Minimum0
Maximum569.78
Zeros7870
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size795.2 KiB
2023-10-12T19:18:01.391454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115.56
median23.36
Q334.34
95-th percentile61.9
Maximum569.78
Range569.78
Interquartile range (IQR)18.78

Descriptive statistics

Standard deviation22.856742
Coefficient of variation (CV)0.82895356
Kurtosis57.408889
Mean27.573007
Median Absolute Deviation (MAD)8.85
Skewness4.8597432
Sum2805911.9
Variance522.43066
MonotonicityNot monotonic
2023-10-12T19:18:01.820781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7870
 
7.7%
15.63 284
 
0.3%
15.86 277
 
0.3%
16.14 259
 
0.3%
14.34 245
 
0.2%
17.41 237
 
0.2%
17.79 237
 
0.2%
12.8 233
 
0.2%
24.38 225
 
0.2%
20 217
 
0.2%
Other values (5161) 91679
90.1%
ValueCountFrequency (%)
0 7870
7.7%
1 1
 
< 0.1%
1.37 1
 
< 0.1%
1.7 1
 
< 0.1%
2.07 1
 
< 0.1%
3.04 1
 
< 0.1%
3.1 2
 
< 0.1%
3.48 6
 
< 0.1%
4.14 7
 
< 0.1%
4.2 1
 
< 0.1%
ValueCountFrequency (%)
569.78 2
 
< 0.1%
567.46 2
 
< 0.1%
559.62 2
 
< 0.1%
515.21 1
 
< 0.1%
508.42 1
 
< 0.1%
473.41 2
 
< 0.1%
466.75 2
 
< 0.1%
429.87 1
 
< 0.1%
413.59 1
 
< 0.1%
412.83 5
< 0.1%

e
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct8729
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20853.59
Minimum0
Maximum16846621
Zeros7900
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size795.2 KiB
2023-10-12T19:18:02.254580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1564.73
median2256.23
Q310193.24
95-th percentile65221.5
Maximum16846621
Range16846621
Interquartile range (IQR)9628.51

Descriptive statistics

Standard deviation190571.41
Coefficient of variation (CV)9.1385419
Kurtosis2887.0291
Mean20853.59
Median Absolute Deviation (MAD)2116.75
Skewness47.676446
Sum2.1221239 × 109
Variance3.6317461 × 1010
MonotonicityNot monotonic
2023-10-12T19:18:02.656866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7900
 
7.8%
225.85 227
 
0.2%
213.31 219
 
0.2%
174.36 217
 
0.2%
1043.09 190
 
0.2%
250.04 186
 
0.2%
186.03 172
 
0.2%
139.52 170
 
0.2%
151.35 158
 
0.2%
1772.67 155
 
0.2%
Other values (8719) 92169
90.6%
ValueCountFrequency (%)
0 7900
7.8%
1 1
 
< 0.1%
8 2
 
< 0.1%
12 83
 
0.1%
13 1
 
< 0.1%
13.79 1
 
< 0.1%
16.25 1
 
< 0.1%
17.41 66
 
0.1%
23.22 22
 
< 0.1%
23.26 12
 
< 0.1%
ValueCountFrequency (%)
16846621.12 2
 
< 0.1%
12120796.16 2
 
< 0.1%
10367010.97 5
< 0.1%
10100866.9 4
< 0.1%
9254819.86 5
< 0.1%
8901671.32 3
< 0.1%
8255889.43 4
< 0.1%
6524839.94 5
< 0.1%
6246976.34 1
 
< 0.1%
4769979.95 1
 
< 0.1%

b
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct315
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.17916404
Minimum0
Maximum26.95
Zeros8097
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size795.2 KiB
2023-10-12T19:18:03.157607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.03
median0.08
Q30.19
95-th percentile0.6
Maximum26.95
Range26.95
Interquartile range (IQR)0.16

Descriptive statistics

Standard deviation0.42184435
Coefficient of variation (CV)2.3545147
Kurtosis533.05155
Mean0.17916404
Median Absolute Deviation (MAD)0.06
Skewness16.016099
Sum18232.27
Variance0.17795266
MonotonicityNot monotonic
2023-10-12T19:18:03.582731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8097
 
8.0%
0.02 8055
 
7.9%
0.03 7588
 
7.5%
0.04 6500
 
6.4%
0.05 5756
 
5.7%
0.06 5743
 
5.6%
0.07 4639
 
4.6%
0.08 4139
 
4.1%
0.09 3803
 
3.7%
0.01 3575
 
3.5%
Other values (305) 43868
43.1%
ValueCountFrequency (%)
0 8097
8.0%
0.01 3575
3.5%
0.02 8055
7.9%
0.03 7588
7.5%
0.04 6500
6.4%
0.05 5756
5.7%
0.06 5743
5.6%
0.07 4639
4.6%
0.08 4139
4.1%
0.09 3803
3.7%
ValueCountFrequency (%)
26.95 1
 
< 0.1%
20.47 1
 
< 0.1%
18.85 1
 
< 0.1%
18.38 2
< 0.1%
15.65 3
< 0.1%
14.45 3
< 0.1%
13.74 3
< 0.1%
11.98 4
< 0.1%
11.01 2
< 0.1%
10.41 1
 
< 0.1%

t
Real number (ℝ)

HIGH CORRELATION  SKEWED  ZEROS 

Distinct8608
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1141.358
Minimum0
Maximum935923.39
Zeros7901
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size795.2 KiB
2023-10-12T19:18:04.164297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q131.38
median125.4
Q3565.92
95-th percentile3623.42
Maximum935923.39
Range935923.39
Interquartile range (IQR)534.54

Descriptive statistics

Standard deviation9862.7955
Coefficient of variation (CV)8.6412814
Kurtosis2780.017
Mean1141.358
Median Absolute Deviation (MAD)117.65
Skewness46.363403
Sum1.1614801 × 108
Variance97274735
MonotonicityNot monotonic
2023-10-12T19:18:04.619320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7901
 
7.8%
11.85 243
 
0.2%
9.69 234
 
0.2%
12.55 222
 
0.2%
7.75 195
 
0.2%
13.89 189
 
0.2%
57.95 183
 
0.2%
6.92 183
 
0.2%
10.33 175
 
0.2%
9.25 173
 
0.2%
Other values (8598) 92065
90.5%
ValueCountFrequency (%)
0 7901
7.8%
0.44 1
 
< 0.1%
0.67 85
 
0.1%
0.74 1
 
< 0.1%
0.97 64
 
0.1%
1 2
 
< 0.1%
1.29 32
 
< 0.1%
1.33 1
 
< 0.1%
1.35 19
 
< 0.1%
1.51 6
 
< 0.1%
ValueCountFrequency (%)
935923.39 1
 
< 0.1%
673377.6 2
 
< 0.1%
575945.03 4
< 0.1%
561159.25 3
< 0.1%
514156.64 4
< 0.1%
494537.33 2
 
< 0.1%
458660.51 5
< 0.1%
375433.58 1
 
< 0.1%
362491.09 7
< 0.1%
238607.05 1
 
< 0.1%

lOCode
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct298
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.802453
Minimum0
Maximum2824
Zeros7818
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size795.2 KiB
2023-10-12T19:18:05.036515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median14
Q326
95-th percentile71
Maximum2824
Range2824
Interquartile range (IQR)19

Descriptive statistics

Standard deviation38.54101
Coefficient of variation (CV)1.6902133
Kurtosis633.77852
Mean22.802453
Median Absolute Deviation (MAD)9
Skewness15.961574
Sum2320446
Variance1485.4094
MonotonicityNot monotonic
2023-10-12T19:18:05.336957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7818
 
7.7%
6 4385
 
4.3%
10 4306
 
4.2%
9 4220
 
4.1%
8 4048
 
4.0%
7 3903
 
3.8%
4 3715
 
3.7%
5 3707
 
3.6%
13 3461
 
3.4%
11 3238
 
3.2%
Other values (288) 58962
57.9%
ValueCountFrequency (%)
0 7818
7.7%
1 63
 
0.1%
2 1870
 
1.8%
3 3036
 
3.0%
4 3715
3.7%
5 3707
3.6%
6 4385
4.3%
7 3903
3.8%
8 4048
4.0%
9 4220
4.1%
ValueCountFrequency (%)
2824 1
 
< 0.1%
1739 1
 
< 0.1%
1599 2
 
< 0.1%
1588 6
< 0.1%
1339 3
< 0.1%
1213 3
< 0.1%
952 2
 
< 0.1%
814 2
 
< 0.1%
656 3
< 0.1%
635 4
< 0.1%

lOComment
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct91
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7739453
Minimum0
Maximum344
Zeros72851
Zeros (%)71.6%
Negative0
Negative (%)0.0%
Memory size795.2 KiB
2023-10-12T19:18:05.656531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile9
Maximum344
Range344
Interquartile range (IQR)1

Descriptive statistics

Standard deviation5.9024118
Coefficient of variation (CV)3.3272794
Kurtosis353.0629
Mean1.7739453
Median Absolute Deviation (MAD)0
Skewness12.086854
Sum180522
Variance34.838465
MonotonicityNot monotonic
2023-10-12T19:18:05.970505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72851
71.6%
1 7237
 
7.1%
2 4215
 
4.1%
3 3249
 
3.2%
4 2488
 
2.4%
5 1986
 
2.0%
6 1842
 
1.8%
7 1302
 
1.3%
8 921
 
0.9%
9 809
 
0.8%
Other values (81) 4863
 
4.8%
ValueCountFrequency (%)
0 72851
71.6%
1 7237
 
7.1%
2 4215
 
4.1%
3 3249
 
3.2%
4 2488
 
2.4%
5 1986
 
2.0%
6 1842
 
1.8%
7 1302
 
1.3%
8 921
 
0.9%
9 809
 
0.8%
ValueCountFrequency (%)
344 2
 
< 0.1%
206 2
 
< 0.1%
162 3
< 0.1%
157 1
 
< 0.1%
141 6
< 0.1%
130 2
 
< 0.1%
120 3
< 0.1%
114 1
 
< 0.1%
112 5
< 0.1%
107 1
 
< 0.1%

lOBlank
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct94
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.979865
Minimum0
Maximum219
Zeros19324
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size795.2 KiB
2023-10-12T19:18:06.281727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q35
95-th percentile13
Maximum219
Range219
Interquartile range (IQR)4

Descriptive statistics

Standard deviation6.3823582
Coefficient of variation (CV)1.603662
Kurtosis166.02371
Mean3.979865
Median Absolute Deviation (MAD)2
Skewness8.7173778
Sum405003
Variance40.734496
MonotonicityNot monotonic
2023-10-12T19:18:06.594643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19324
19.0%
1 17062
16.8%
2 15511
15.2%
3 13028
12.8%
4 9422
9.3%
5 6883
 
6.8%
6 3791
 
3.7%
7 3194
 
3.1%
8 2509
 
2.5%
9 2209
 
2.2%
Other values (84) 8830
8.7%
ValueCountFrequency (%)
0 19324
19.0%
1 17062
16.8%
2 15511
15.2%
3 13028
12.8%
4 9422
9.3%
5 6883
 
6.8%
6 3791
 
3.7%
7 3194
 
3.1%
8 2509
 
2.5%
9 2209
 
2.2%
ValueCountFrequency (%)
219 4
< 0.1%
202 4
< 0.1%
164 5
< 0.1%
154 1
 
< 0.1%
143 6
< 0.1%
135 1
 
< 0.1%
133 2
 
< 0.1%
129 1
 
< 0.1%
114 4
< 0.1%
106 4
< 0.1%

locCodeAndComment
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.19660387
Minimum0
Maximum43
Zeros93550
Zeros (%)91.9%
Negative0
Negative (%)0.0%
Memory size795.2 KiB
2023-10-12T19:18:06.878648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum43
Range43
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.99890639
Coefficient of variation (CV)5.0808073
Kurtosis220.28736
Mean0.19660387
Median Absolute Deviation (MAD)0
Skewness11.10858
Sum20007
Variance0.99781398
MonotonicityNot monotonic
2023-10-12T19:18:07.157935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 93550
91.9%
1 4221
 
4.1%
2 1632
 
1.6%
3 843
 
0.8%
4 507
 
0.5%
5 250
 
0.2%
6 235
 
0.2%
7 133
 
0.1%
8 116
 
0.1%
10 63
 
0.1%
Other values (19) 213
 
0.2%
ValueCountFrequency (%)
0 93550
91.9%
1 4221
 
4.1%
2 1632
 
1.6%
3 843
 
0.8%
4 507
 
0.5%
5 250
 
0.2%
6 235
 
0.2%
7 133
 
0.1%
8 116
 
0.1%
9 54
 
0.1%
ValueCountFrequency (%)
43 1
 
< 0.1%
38 3
< 0.1%
32 1
 
< 0.1%
28 3
< 0.1%
26 1
 
< 0.1%
24 7
< 0.1%
23 3
< 0.1%
22 3
< 0.1%
20 4
< 0.1%
19 1
 
< 0.1%

uniq_Op
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct70
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.896131
Minimum0
Maximum410
Zeros7795
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size795.2 KiB
2023-10-12T19:18:07.493845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median11
Q316
95-th percentile23
Maximum410
Range410
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.7495494
Coefficient of variation (CV)0.56737348
Kurtosis274.16096
Mean11.896131
Median Absolute Deviation (MAD)4
Skewness5.6386888
Sum1210586
Variance45.556417
MonotonicityNot monotonic
2023-10-12T19:18:07.850617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7795
 
7.7%
11 7783
 
7.6%
12 7761
 
7.6%
9 7262
 
7.1%
10 6863
 
6.7%
8 5741
 
5.6%
7 5622
 
5.5%
14 5587
 
5.5%
13 5547
 
5.5%
15 4945
 
4.9%
Other values (60) 36857
36.2%
ValueCountFrequency (%)
0 7795
7.7%
1 29
 
< 0.1%
2 11
 
< 0.1%
3 457
 
0.4%
4 1892
 
1.9%
5 2888
 
2.8%
6 4586
4.5%
7 5622
5.5%
8 5741
5.6%
9 7262
7.1%
ValueCountFrequency (%)
410 2
 
< 0.1%
280 1
 
< 0.1%
172 1
 
< 0.1%
155 2
 
< 0.1%
105 3
< 0.1%
102 3
< 0.1%
99 6
< 0.1%
98 1
 
< 0.1%
88 1
 
< 0.1%
78 2
 
< 0.1%

uniq_Opnd
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct176
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.596671
Minimum0
Maximum1026
Zeros7866
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size795.2 KiB
2023-10-12T19:18:08.190774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median12
Q320
95-th percentile42
Maximum1026
Range1026
Interquartile range (IQR)13

Descriptive statistics

Standard deviation18.064261
Coefficient of variation (CV)1.1582126
Kurtosis502.41935
Mean15.596671
Median Absolute Deviation (MAD)6
Skewness13.504999
Sum1587164
Variance326.31752
MonotonicityNot monotonic
2023-10-12T19:18:08.552613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7866
 
7.7%
6 7022
 
6.9%
7 5500
 
5.4%
8 5396
 
5.3%
10 4971
 
4.9%
12 4908
 
4.8%
11 4762
 
4.7%
5 4682
 
4.6%
9 4489
 
4.4%
13 3596
 
3.5%
Other values (166) 48571
47.7%
ValueCountFrequency (%)
0 7866
7.7%
1 220
 
0.2%
2 609
 
0.6%
3 1657
 
1.6%
4 3004
 
3.0%
5 4682
4.6%
6 7022
6.9%
7 5500
5.4%
8 5396
5.3%
9 4489
4.4%
ValueCountFrequency (%)
1026 2
 
< 0.1%
811 3
< 0.1%
806 3
< 0.1%
609 5
< 0.1%
458 1
 
< 0.1%
407 4
< 0.1%
382 1
 
< 0.1%
355 4
< 0.1%
279 3
< 0.1%
264 2
 
< 0.1%

total_Op
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct623
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.628116
Minimum0
Maximum5420
Zeros7834
Zeros (%)7.7%
Negative0
Negative (%)0.0%
Memory size795.2 KiB
2023-10-12T19:18:08.853819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115
median30
Q366
95-th percentile183
Maximum5420
Range5420
Interquartile range (IQR)51

Descriptive statistics

Standard deviation104.53766
Coefficient of variation (CV)1.8140045
Kurtosis264.10462
Mean57.628116
Median Absolute Deviation (MAD)19
Skewness11.149996
Sum5864410
Variance10928.122
MonotonicityNot monotonic
2023-10-12T19:18:09.166364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7834
 
7.7%
15 2305
 
2.3%
10 2091
 
2.1%
21 2067
 
2.0%
16 2051
 
2.0%
11 2045
 
2.0%
13 2026
 
2.0%
19 2014
 
2.0%
17 1977
 
1.9%
9 1965
 
1.9%
Other values (613) 75388
74.1%
ValueCountFrequency (%)
0 7834
7.7%
1 29
 
< 0.1%
2 11
 
< 0.1%
3 184
 
0.2%
4 147
 
0.1%
5 490
 
0.5%
6 763
 
0.7%
7 1314
 
1.3%
8 1871
 
1.8%
9 1965
 
1.9%
ValueCountFrequency (%)
5420 1
 
< 0.1%
3368 7
< 0.1%
3172 5
< 0.1%
3149 2
 
< 0.1%
2752 4
< 0.1%
2595 1
 
< 0.1%
2415 4
< 0.1%
2154 3
< 0.1%
2029 1
 
< 0.1%
1932 4
< 0.1%

total_Opnd
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct485
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.249698
Minimum0
Maximum3021
Zeros7899
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size795.2 KiB
2023-10-12T19:18:09.473155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median20
Q345
95-th percentile129
Maximum3021
Range3021
Interquartile range (IQR)35

Descriptive statistics

Standard deviation71.692309
Coefficient of variation (CV)1.8265697
Kurtosis225.7243
Mean39.249698
Median Absolute Deviation (MAD)13
Skewness10.496121
Sum3994167
Variance5139.7871
MonotonicityNot monotonic
2023-10-12T19:18:09.971434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7899
 
7.8%
7 3433
 
3.4%
10 3044
 
3.0%
8 3038
 
3.0%
6 2845
 
2.8%
9 2784
 
2.7%
15 2767
 
2.7%
13 2761
 
2.7%
16 2514
 
2.5%
12 2507
 
2.5%
Other values (475) 68171
67.0%
ValueCountFrequency (%)
0 7899
7.8%
1 195
 
0.2%
2 357
 
0.4%
3 764
 
0.8%
4 1597
 
1.6%
5 2020
 
2.0%
6 2845
 
2.8%
7 3433
3.4%
8 3038
 
3.0%
9 2784
 
2.7%
ValueCountFrequency (%)
3021 2
< 0.1%
2537 1
 
< 0.1%
2526 1
 
< 0.1%
2301 3
< 0.1%
2243 3
< 0.1%
1730 4
< 0.1%
1609 1
 
< 0.1%
1607 3
< 0.1%
1556 4
< 0.1%
1522 3
< 0.1%

branchCount
Real number (ℝ)

HIGH CORRELATION 

Distinct144
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.8395488
Minimum1
Maximum503
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size795.2 KiB
2023-10-12T19:18:10.333247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q311
95-th percentile33
Maximum503
Range502
Interquartile range (IQR)8

Descriptive statistics

Standard deviation14.412769
Coefficient of variation (CV)1.4647795
Kurtosis179.05324
Mean9.8395488
Median Absolute Deviation (MAD)4
Skewness8.5685271
Sum1001302
Variance207.72792
MonotonicityNot monotonic
2023-10-12T19:18:10.684790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 22490
22.1%
1 15790
15.5%
5 15597
15.3%
7 9957
9.8%
9 7593
 
7.5%
11 5618
 
5.5%
13 3930
 
3.9%
15 3092
 
3.0%
17 2288
 
2.2%
19 2003
 
2.0%
Other values (134) 13405
13.2%
ValueCountFrequency (%)
1 15790
15.5%
2 2
 
< 0.1%
3 22490
22.1%
4 222
 
0.2%
5 15597
15.3%
6 256
 
0.3%
7 9957
9.8%
8 171
 
0.2%
9 7593
 
7.5%
10 120
 
0.1%
ValueCountFrequency (%)
503 2
 
< 0.1%
485 5
< 0.1%
464 2
 
< 0.1%
405 3
< 0.1%
403 2
 
< 0.1%
401 2
 
< 0.1%
344 2
 
< 0.1%
329 2
 
< 0.1%
274 2
 
< 0.1%
265 1
 
< 0.1%

defects
Boolean

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size99.5 KiB
False
78699 
True
23064 
ValueCountFrequency (%)
False 78699
77.3%
True 23064
 
22.7%
2023-10-12T19:18:11.046460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2023-10-12T19:17:35.595353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:14:30.109702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:14:40.562260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:14:53.258678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:08.303519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:16.536433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:22.845285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:28.204992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:34.926087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:41.707907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:48.317737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:54.356732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:59.679001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:06.006636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:11.632302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:18.658749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:27.243085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:41.699482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:52.811514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:04.123757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:14.901122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:25.404177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:35.987838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:14:30.407891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:14:41.107071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:14:54.280958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:08.635709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:16.876411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:23.093423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:28.468956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:35.157300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:41.941717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:48.561890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:54.584379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:59.936795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:06.198804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:11.876596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:19.094955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:27.863056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:42.374864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:53.323107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:04.659687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:15.410580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:25.826097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:36.373592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:14:30.655002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:14:42.192638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:14:55.147166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:08.940626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:17.202946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:23.337087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:28.738238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:35.391610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:42.186399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:48.832950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:54.845170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:00.173107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:06.466887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:12.237628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:19.579114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:29.062042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:42.891254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:53.809657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:05.192504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:15.897361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:26.306799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:36.791151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:14:31.060876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:14:42.910853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:14:55.878383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:09.379241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:17.506596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:23.575615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:28.998011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:35.839742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:42.489119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:49.137146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:55.150648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:00.445957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:06.719784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:12.514581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:20.163069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:29.636304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:43.518754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:54.476008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:05.837543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:16.388462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:26.906059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:37.191003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:14:31.322207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:14:43.333200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:14:56.681817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:09.701007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:17.819430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:23.788270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:29.265238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:36.248729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:42.929827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:49.440695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:55.399601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:01.012110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:06.937155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:12.992558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:20.616989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:30.193963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:44.079529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:55.015167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:06.434566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:16.957254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:27.325101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:37.607301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:14:31.618390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:14:44.392705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:14:57.444948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:10.110884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:18.175476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:24.033321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:29.503312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:36.573061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:43.617695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:49.697796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:55.715885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:01.444151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:07.355757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:13.408504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:21.051486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:30.873099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:44.600680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:55.608440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:06.907742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:17.424479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:27.793048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:38.025410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:14:31.880924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:14:45.021053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:14:58.070414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:10.433408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:18.451147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:24.226524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:29.726155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:36.875249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:43.913802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:50.120528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:55.948660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:01.816722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:07.642982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:13.732754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:21.537914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:31.380678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:45.011588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:56.131171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:07.460414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:17.944475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:28.189701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:38.614670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:14:32.350238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:14:45.479073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:14:58.891578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:10.803176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:18.825374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:24.670732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:30.004687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:37.233881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:44.151534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2023-10-12T19:15:58.182830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:04.605995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:10.097458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:16.768394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:24.650811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:37.829551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:49.868248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:01.340118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:12.274882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:22.749215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:32.667645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:43.456351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:14:37.966900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:14:50.474032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:05.838162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:15.171741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:21.494341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:27.143088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:33.403865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:40.093878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:46.481686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:52.786356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:58.412307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:04.845657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:10.310907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:17.017350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:24.909938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:38.347088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:50.427311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:01.782633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:12.703500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:23.171170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:33.089485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:44.144105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:14:38.565509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:14:51.063042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:06.427510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:15.438856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:21.789409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:27.340548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:33.716707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:40.357575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:46.953775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:53.071044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:58.627933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:05.045783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:10.562154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:17.249370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:25.278965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:38.941742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:50.863795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:02.195087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:13.138584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:23.591279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:33.588305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:44.674182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:14:39.092138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:14:51.628721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:07.156484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:15.665705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:22.004616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:27.569090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:33.988130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:40.682687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:47.315432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:53.433598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:58.870794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:05.252136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:10.778751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:17.476610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:25.627899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:39.641923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:51.327106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:02.655968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:13.580538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:24.052005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:34.159539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:45.268952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:14:39.527567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:14:52.124615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:07.511843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:15.982867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:22.224373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:27.778761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:34.382186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:41.058708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:47.690291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:53.818027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:59.089878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:05.530728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:11.020745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:17.702199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:25.948953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:40.277596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:51.793367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:03.141058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:13.992549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:24.433328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:34.685829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:46.053160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:14:40.114071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:14:52.671319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:07.922148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:16.274436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:22.507256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:28.004930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:34.673808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:41.337717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:47.966168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:54.107901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:15:59.354349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:05.783849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:11.245400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:18.154245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:26.544199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:41.018565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:16:52.277328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:03.602786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:14.455426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:24.891993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-10-12T19:17:35.192610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-10-12T19:18:11.253757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
idlocv(g)ev(g)iv(g)nvldiebtlOCodelOCommentlOBlanklocCodeAndCommentuniq_Opuniq_Opndtotal_Optotal_OpndbranchCountdefects
id1.0000.0010.0040.0020.003-0.000-0.000-0.0020.001-0.0030.001-0.0000.001-0.0000.0040.0010.0110.003-0.0010.000-0.0010.0040.000
loc0.0011.0000.8120.4920.7450.6500.651-0.8630.5900.4880.6420.6500.6420.6780.4730.5990.2530.5600.6020.6480.6430.8110.075
v(g)0.0040.8121.0000.6570.8100.4940.496-0.8350.5260.2570.5210.4960.5210.5150.3220.3730.2240.5230.4220.4960.4820.9980.083
ev(g)0.0020.4920.6571.0000.4720.1940.196-0.5660.2410.0360.2210.1960.2200.1910.1910.1370.1410.2540.1420.1980.1840.6610.156
iv(g)0.0030.7450.8100.4721.0000.4940.499-0.6800.4610.3710.4950.4980.4950.5120.3190.3890.2120.4760.4800.4920.4920.8090.046
n-0.0000.6500.4940.1940.4941.0000.999-0.5030.9330.8350.9870.9980.9880.9590.5060.8210.2850.8910.9440.9960.9930.4940.109
v-0.0000.6510.4960.1960.4990.9991.000-0.5020.9320.8380.9870.9990.9870.9600.5060.8220.2860.8970.9490.9950.9920.4960.076
l-0.002-0.863-0.835-0.566-0.680-0.503-0.5021.000-0.570-0.184-0.542-0.501-0.542-0.478-0.307-0.386-0.196-0.511-0.375-0.508-0.486-0.8350.267
d0.0010.5900.5260.2410.4610.9330.932-0.5701.0000.6120.9720.9300.9720.9050.4690.7620.2740.9380.8040.9380.9160.5270.182
i-0.0030.4880.2570.0360.3710.8350.838-0.1840.6121.0000.7580.8380.7580.7970.4350.7040.2330.6240.9300.8210.8480.2560.221
e0.0010.6420.5210.2210.4950.9870.987-0.5420.9720.7581.0000.9860.9990.9530.5000.8110.2850.9270.9050.9870.9770.5210.025
b-0.0000.6500.4960.1960.4980.9980.999-0.5010.9300.8380.9861.0000.9860.9590.5070.8210.2860.8950.9490.9940.9910.4950.076
t0.0010.6420.5210.2200.4950.9880.987-0.5420.9720.7580.9990.9861.0000.9530.5000.8110.2850.9270.9050.9880.9770.5210.027
lOCode-0.0000.6780.5150.1910.5120.9590.960-0.4780.9050.7970.9530.9590.9531.0000.5060.8140.2780.8760.9110.9570.9530.5140.061
lOComment0.0040.4730.3220.1910.3190.5060.506-0.3070.4690.4350.5000.5070.5000.5061.0000.5320.2720.4540.4860.5050.5040.3230.090
lOBlank0.0010.5990.3730.1370.3890.8210.822-0.3860.7620.7040.8110.8210.8110.8140.5321.0000.2600.7420.7890.8190.8150.3730.150
locCodeAndComment0.0110.2530.2240.1410.2120.2850.286-0.1960.2740.2330.2850.2860.2850.2780.2720.2601.0000.2680.2690.2850.2830.2230.091
uniq_Op0.0030.5600.5230.2540.4760.8910.897-0.5110.9380.6240.9270.8950.9270.8760.4540.7420.2681.0000.8210.9000.8680.5230.045
uniq_Opnd-0.0010.6020.4220.1420.4800.9440.949-0.3750.8040.9300.9050.9490.9050.9110.4860.7890.2690.8211.0000.9320.9540.4210.071
total_Op0.0000.6480.4960.1980.4920.9960.995-0.5080.9380.8210.9870.9940.9880.9570.5050.8190.2850.9000.9321.0000.9820.4960.103
total_Opnd-0.0010.6430.4820.1840.4920.9930.992-0.4860.9160.8480.9770.9910.9770.9530.5040.8150.2830.8680.9540.9821.0000.4820.124
branchCount0.0040.8110.9980.6610.8090.4940.496-0.8350.5270.2560.5210.4950.5210.5140.3230.3730.2230.5230.4210.4960.4821.0000.168
defects0.0000.0750.0830.1560.0460.1090.0760.2670.1820.2210.0250.0760.0270.0610.0900.1500.0910.0450.0710.1030.1240.1681.000

Missing values

2023-10-12T19:17:46.831161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-10-12T19:17:48.480933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

idlocv(g)ev(g)iv(g)nvldiebtlOCodelOCommentlOBlanklocCodeAndCommentuniq_Opuniq_Opndtotal_Optotal_OpndbranchCountdefects
0022.03.01.02.060.0278.630.0619.5614.255448.790.09302.711711016.09.038.022.05.0False
1114.02.01.02.032.0151.270.147.0021.11936.710.0552.041101011.011.018.014.03.0False
2211.02.01.02.045.0197.650.118.0522.761754.010.0797.45801012.011.028.017.03.0False
338.01.01.01.023.094.010.195.2517.86473.660.0326.3140208.06.016.07.01.0True
4411.02.01.02.017.060.940.185.6312.44365.670.0220.3170207.06.010.010.03.0False
5523.04.04.03.069.0338.210.0714.1522.813772.510.11209.421712016.010.040.019.07.0False
6624.04.01.04.060.0294.410.0812.4624.623295.250.10183.071903014.013.040.023.07.0False
7714.01.01.01.049.0221.650.185.4746.061183.480.0765.75110207.018.026.023.01.0False
8834.010.01.04.0122.0684.980.0714.3343.439941.840.23552.322913016.029.075.047.019.0False
999.02.01.02.016.055.350.119.006.15498.160.0227.6840209.02.012.04.03.0False
idlocv(g)ev(g)iv(g)nvldiebtlOCodelOCommentlOBlanklocCodeAndCommentuniq_Opuniq_Opndtotal_Optotal_OpndbranchCountdefects
10175310175344.03.03.03.0128.0682.440.0714.0051.937198.750.23399.933804014.030.068.054.05.0False
10175410175421.02.01.02.057.0265.930.118.8829.932362.670.09131.261505311.013.036.021.03.0False
10175510175510.02.01.02.015.055.510.214.6710.28222.030.0112.3360108.03.010.05.03.0False
10175610175622.05.03.03.055.0264.400.0813.0019.013050.820.09169.491402113.09.034.021.09.0False
10175710175719.03.01.02.050.0222.970.0910.6722.122189.400.07121.631403012.09.030.018.05.0False
10175810175810.02.01.01.028.0122.980.156.6018.63811.700.0445.09701011.08.016.012.03.0False
10175910175927.05.04.01.0107.0559.930.0618.0034.1711268.270.19626.012302018.020.067.040.09.0False
10176010176026.01.01.01.083.0360.170.0422.7512.565893.690.12327.432004010.08.051.028.01.0False
10176110176110.02.01.02.043.0191.760.156.4629.531534.040.0685.22701011.014.024.019.03.0False
101762101762136.018.018.01.0296.01704.570.0244.8244.0877011.020.574278.43102111022.031.0162.0135.035.0False